Invention Grant
- Patent Title: Probabilistic tree-structured learning system for extracting contact data from quotes
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Application No.: US13034463Application Date: 2011-02-24
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Publication No.: US09619534B2Publication Date: 2017-04-11
- Inventor: Arun Kumar Jagota
- Applicant: Arun Kumar Jagota
- Applicant Address: US CA San Francisco
- Assignee: salesforce.com, inc.
- Current Assignee: salesforce.com, inc.
- Current Assignee Address: US CA San Francisco
- Agency: Dergosits & Noah LLP
- Agent Todd A. Noah
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06N7/00 ; G06Q30/02

Abstract:
Systems and methods for updating data stored in a database, such as contact information. An input string is obtained through a search for timely material associated with the stored contact. The input string is parsed using probabilistic tendencies to extract entities corresponding to those stored with the contact. Secondary entities are used to assist in the identification of the primary entities. The contact is then updated (or added if new) using the extracted primary entities.
Public/Granted literature
- US20120066160A1 PROBABILISTIC TREE-STRUCTURED LEARNING SYSTEM FOR EXTRACTING CONTACT DATA FROM QUOTES Public/Granted day:2012-03-15
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